Lp Norm Iterative Sparse Solution for EEG Source Localization

Author

Xu, Peng ; Tian, Yin ; Chen, Huafu ; Yao, Dezhong

Author_Institution

Sch. of Life Sci. & Technol., Univ. of Electron. Sci. & Technol. of China, Chengdu

Volume

54

Issue

3

fYear

2007

fDate

3/1/2007 12:00:00 AM

Firstpage

400

Lastpage

409

Abstract

How to localize the neural electric activities effectively and precisely from the scalp EEG recordings is a critical issue for clinical neurology and cognitive neuroscience. In this paper, based on the spatial sparse assumption of brain activities, proposed is a novel iterative EEG source imaging algorithm, Lp norm iterative sparse solution (LPISS). In LPISS, the l_p(ples1) norm constraint for sparse solution is integrated into the iterative weighted minimum norm solution of the underdetermined EEG inverse problem, and it is the constraint and the iteratively renewed weight that forces the inverse problem to converge to a sparse solution effectively. The conducted simulation studies with comparison to LORETA and FOCUSS for various dipoles configurations confirmed the validation of LPISS for sparse EEG source localization. Finally, LPISS was applied to a real evoked potential collected in a study of inhibition of return (IOR), and the result was consistent with the previously suggested activated areas involved in an IOR process

Keywords

cognition; electroencephalography; inverse problems; iterative methods; medical computing; neurophysiology; EEG source localization; FOCUSS; LORETA; Lp norm iterative sparse solution; brain; clinical neurology; cognitive neuroscience; evoked potential; inverse problem; iterative EEG source imaging algorithm; iterative weighted minimum norm solution; neural electric activities; Brain modeling; Electroencephalography; Focusing; Inverse problems; Iterative algorithms; Nervous system; Neuroscience; Scalp; Space technology; Spatial resolution; EEG source imaging; inhibition of return; inverse problem; sparse constraint; underdetermined system; weighted minimum norm solution; Algorithms; Brain; Brain Mapping; Computer Simulation; Diagnosis, Computer-Assisted; Electroencephalography; Evoked Potentials, Visual; Humans; Models, Neurological; Neural Inhibition; Visual Perception;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2006.886640

Filename

4100845